A new study led by Lund University in Sweden has solved a years-old mystery: which patients with aggressive breast cancer are helped by a targeted cancer treatment that had been under development but was shelved. The study is important since it brings hope that the development of the drug can continue and that it will make it all the way to these patients.

Despite the efforts of the North American researchers, many years of research and development and millions of dollars spent, a medicine named ganitumab that had shown promising results against breast cancer in animal trials was shelved.

Treatment for more advanced and difficult-to-treat head and neck cancers can be improved with the addition of polyvinyl alcohol (PVA), the same ingredient used in children's glue. Researchers found that combining PVA with a boron-containing compound, D-BPA, improved the effects of a type of radiation therapy for cancer, compared to currently clinically used drugs. The PVA made the drug more selective of tumor cells and prolonged drug retention, helping to spare healthy cells from unnecessary radiation damage.

A common heart drug may slow the progression of Huntington's disease (HD), according to a new study by University of Iowa Health Care researchers.

Using clinical information from a large, observational database of over 21,000 people with HD, the UI team found that the use of beta-blocker drugs - commonly used to treat heart and blood pressure issues - was associated with both a significantly later onset of HD symptoms for people in the pre-symptomatic stages, and a slower rate of symptom worsening for those with symptoms.

Researchers from the National Institutes of Health (NIH) have developed an artificial intelligence (AI) algorithm to help speed up the process of matching potential volunteers to relevant clinical research trials listed on ClinicalTrials.gov. A study published in Nature Communications found that the AI algorithm, called TrialGPT, could successfully identify relevant clinical trials for which a person is eligible and provide a summary that clearly explains how that person meets the criteria for study enrollment.

Large language models, a type of AI that analyses text, can predict the results of proposed neuroscience studies more accurately than human experts, finds a new study led by UCL (University College London) researchers.

The findings, published in Nature Human Behaviour, demonstrate that large language models (LLMs) trained on vast datasets of text can distil patterns from scientific literature, enabling them to forecast scientific outcomes with superhuman accuracy.

An injection given during some asthma and COPD attacks is more effective than the current treatment of steroid tablets, reducing the need for further treatment by 30%.

The findings, published today in The Lancet Respiratory Medicine, could be "game-changing" for millions of people with asthma and COPD around the world, scientists say.

With the rapid development of antibiotics in the 1930s, phage therapy - using viruses known as bacteriophages or phages to tackle bacterial infections - fell into oblivion. But as the current rise in antibiotic resistance is making it increasingly difficult to treat bacterial infections, phage therapy is once again sparking interest among physicians and scientists - although it remains complex in practice because of the great diversity and specificity of phages. Against this backdrop, scientists from the Institut Pasteur, Inserm, the Paris Public Hospital Network (AP-HP) and Université Paris Cité have developed a simple and effective new tool that recommends the best possible phage cocktail for a given patient.